Journal
IFAC PAPERSONLINE
Volume 53, Issue 2, Pages 10597-10602Publisher
ELSEVIER
DOI: 10.1016/j.ifacol.2020.12.2813
Keywords
Order picking; Robot; Warehousing; Ergonomics; Zoning
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Manual order picking is the most labour-intensive activity in warehouses. As an alternative, robot pickers that can work alongside manual order pickers have emerged. This paper presents such a robot picker and develops a method for assigning products to two warehouse zones; one for robot pickers and one for human pickers. A Non-dominated Sorting Genetic Algorithm II (NSGA-II) was used to develop the zoning method, minimizing human workload and maximizing the similarity of product categories in each zone. The method was verified in a case study. Copyright (C) 2020 The Authors.
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